miniforge
asdf
Our great sponsors
miniforge | asdf | |
---|---|---|
56 | 340 | |
5,243 | 20,448 | |
7.0% | 2.8% | |
7.7 | 7.9 | |
12 days ago | 4 days ago | |
Shell | Shell | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
miniforge
- Python 3.12
- Installing Anaconda on ChromeOS using Linux
-
What is the difference between chat, cai-chat, and instruct, and how to use them?
Nope they don't use venv for any of the oobabooga# variants nor is it recommended for the git version. I'm using https://github.com/conda-forge/miniforge#mambaforge-pypy3 (better version of the recommended conda) for the git variant. The oobabooga* variant uses micro/miniconda (I suck with names) which you can easily drop into with cmd_?something? and does it all internally. Like whoever built that whole environment setup for the _windows/linux/mac did a great job.
-
Build llama.cpp on Jetson Nano 2GB
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh .
-
PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
Mambaforge!
-
A quick guide to using mamba-forge for python virtual environment management
Just to further clarify: you don't need mamba to avoid the Anaconda distribution. The place you get mambaforge also supplies (and originally supplied) miniforge, which is miniconda with conda-forge set as the default channel. All the *forge installers do in this regard is automatically set conda-forge as the default (and only) channel, which is something one can do manually with miniconda.
- Recommendations for Data Science Workflow
-
path issue - cannot import modules in jupyter installed via pip3 (m1 mac)
I'd recommend using miniforge if you're comfortable with CLIs, otherwise https://www.anaconda.com/.
-
How to get the best Conda environment experience in Codespaces
Tip 1: To use less of your Codespaces resources start with a smaller image like Miniconda or Miniforge and install only what you need.
-
Ask HN: Programs that saved you 100 hours? (2022 edition)
miniforge, no need to deal with conda environments anymore. https://github.com/conda-forge/miniforge
asdf
- Show HN: I made a multiple runtime version manager that can be used on Windows
-
Volta – Fastest Node version manager in Rust
Or if you need to manage more than just node, asdf has been around for over a decade and works great. You can use a .tool-versions to change runtimes for each project you have, in addition to managing your global runtime versions
https://asdf-vm.com/
-
Pyenv – lets you easily switch between multiple versions of Python
Why not just use a tool like asdf (https://asdf-vm.com/) or mise (https://mise.jdx.dev/)?
These tools have the advantage of not being multi-taskers and can manage version for all your tools. You wouldn’t need pyenv and npm and rvm and…
We’ve even started committing the .mise.toml files for projects to our repos. That way, since we work on multiple projects that may need multiple versions of the same tool, it’s handled and documented.
-
A Journey to Find an Ultimate Development Environment
The purpose of a version manager is to help you navigate or install any tools for development easily. Version Manager can be one tool for each dependency (e.g. NVM, g) or One tool for all dependencies (e.g. asdf, mise).
-
How to Install Your Python Version on Ubuntu
(asdf)[https://asdf-vm.com/] fully supports Python and almost any other language. I've been using it for Ruby, Python, Elixir, and other languages for years and never looked back.
-
Beginners Intro to Trunk Based Development
Secondly, our development environments must not drift, because then code may behave differently and a change could pass on our machine but fail in production. There are many tools for locking down environments, e.g nix, pkgx, asdf, containers, etc., and they all share the common goal of being able to lock down dependencies for an environment accurately and deterministically. And that needs to be enforced in our local workflow so we don't have to rely on CI environments for correctness. All developers must have environments that are effectively identical to what runs in CI (which itself should be representative of the production environment).
-
Practical Guide to Trunk Based Development
There are many ways this can be done (e.g nix, pkgx, asdf, containers, etc.), and we won’t get into which specific tools to use, because we'll instead cover the essential essence of preventing environment drift:
- Criando seu ambiente com ASDF
-
Kotlin version manager
I've really been enjoying asdf, which is a program that allows you to install specified versions of dev utilities as well as dynamically manage them via shims and .tool-versions files.
-
How do i keep my "devops tool" always up to date in a smart way ?
I use the asdf version manager.
What are some alternatives?
mamba - The Fast Cross-Platform Package Manager
SDKMan - The SDKMAN! Command Line Interface
pyenv - Simple Python version management
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
rbenv - Manage your app's Ruby environment
Poetry - Python packaging and dependency management made easy
nvm - Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
volta - Volta: JS Toolchains as Code. ⚡
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
HomeBrew - 🍺 The missing package manager for macOS (or Linux)